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Decomposable graphical models for individual and collective decision
This thesis focuses on the use of GAI-Nets, a graphical model for compact preference representation, in order to achieve the usual features of a recommender system in... -
States-based Evolutionary Algorithm for Difficult Optimization
Evolutionary Algorithms (EAs) are search methods inspired by the darwinian theory of evolution, working iteratively on a population of potential solutions that are... -
On the control of hybrid nonlinear systems
This dissertation concerns the development of reduced complexity controllers for<br />hybrid switched systems. A diverse number of applications from automotive... -
COMBINATORIAL PROBLEMS IN PRODUCTION LINES CONFIGURATION : COMPUTATIONAL ANAL...
The objective of this thesis is to create and develop new effective solution methods for production line configuration problems. Two problems were studied: the... -
NP-Hard problems : moderately exponential approximation and parameterized com...
We give in this thesis some moderately exponential algorithms for the MAX SAT problem. We discuss a very general method to conceive efficient exponential algorithms... -
Model-based trade studies in systems architectures design phases
The design of system architectures is a complex task which involves major stakes. During this activity, system designers must create design alternatives and compare... -
Optimisation multi-objectif de missions de satellites d'observation de la Terre
This thesis considers the selection and scheduling problem of observations for agile Earth observing satellites. The mission of Earth observing satellites is to obtain... -
Design and evaluation of decision-making tools for reactive mobility support ...
In this thesis, we are interested to deal with combinatorial optimization problems related to design management tools for vehicle-sharing systems. These problems are... -
Classification of medical data using optimization methods applied to patient ...
Medical data suffer from uncertainty and a lack of uniformisation, making them hard to use in medical software, especially for patient screening in clinical trials. In... -
Combinatorial optimization for variable selection in high dimensional regress...
Advances in high-throughput sequencing and genotyping technologies allow to measure large amounts of genomic information. The aim of this work is dedicated to the... -
Load-balancing and resource-provisioning in large distributed systems
The main theme of this thesis is load-balancing in large sparse random graphs. In the computer science context, a load-balancing problem occurs when we have a set of... -
Optimization problems with propagation in graphs : Parameterized complexity a...
In this thesis, we investigate the computational complexity of optimization problems involving a “diffusion process” in a graph. More specifically, we are first... -
p-Fixed Cardinality Linear Ordering Problem
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Optimisation combinatoire multi-objectif : gestion de la diversification pour...
International audience -
Chercher moins pour trouver mieux : de l'intérêt de la descente stochastique ...
International audience -
Portfolio Adaptatif pour la Parallélisation d'un solveur de Programmation Par...
International audience -
Mathematical programming for discrete tomography
The tomographic imaging problem deals with reconstructing an objectfrom a data called a projections and collected by illuminating the objectfrom many different... -
Cellular GPU Models to Euclidean Optimization Problems : Applications from St...
The work presented in this PhD studies and proposes cellular computation parallel models able to address different types of NP-hard optimization problems defined in... -
Constructive approaches to the rigidity of frameworks
The theory of rigidity studies the uniqueness of realizations of graphs, i.e., frameworks. Originally motivated by structural engineering, rigidity theory nowadays... -
Autonomous operator control for local search
resolution methods have been proposed to deal with larger and more complex problems. Among those methods, metaheuristics are commonly used in academia and the industry...
